Demographics details for Shoshoni, WY vs Martinsburg, WV
Population Overview
Compare main population characteristics in Shoshoni, WY vs Martinsburg, WV.
Data | Shoshoni | Martinsburg |
---|---|---|
Population | 491 | 18,953 |
Median Age | 40.4 years | 36.4 years |
Median Income | $39,485 | $55,240 |
Married Families | 39.0% | 29.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Shoshoni vs Martinsburg
- The population in Martinsburg is higher at 18,953, compared to 491 in Shoshoni.
- Residents in Shoshoni have a higher median age of 40.4 years compared to 36.4 years in Martinsburg.
- Martinsburg has a higher median income of $55,240, compared to $39,485 in Shoshoni.
- A higher percentage of married families is found in Shoshoni at 39.0% compared to 29.0% in Martinsburg.
- Shoshoni has a higher poverty level at 10% compared to 8% in Martinsburg.
- The unemployment rate in Shoshoni is higher at 5.0%, compared to 4.5% in Martinsburg.
Demographics
Demographics Shoshoni vs Martinsburg provide insight into the diversity of the communities to compare.
Demographic | Shoshoni | Martinsburg |
---|---|---|
Black | Data is updating | 13 |
White | 86 | 69 |
Asian | Data is updating | 1 |
Hispanic | 4 | 6 |
Two or More Races | 3 | 11 |
American Indian | 7 | Data is updating |
Demographics Comparison: Shoshoni vs Martinsburg
- In Martinsburg, the percentage of Black residents is higher at 13% compared to 0% in Shoshoni.
- Shoshoni has a higher percentage of White residents at 86% compared to 69% in Martinsburg.
- In Martinsburg, the Asian population stands at 1%, greater than 0% in Shoshoni.
- Martinsburg has a higher percentage of Hispanic residents at 6%, compared to 4% in Shoshoni.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 3% in Shoshoni.
- A greater percentage of American Indian residents live in Shoshoni at 7% compared to 0% in Martinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shoshoni | Martinsburg |
---|---|---|
Mental Health Not Good | 15.1% | 21.8% |
Physical Health Not Good | 10.1% | 15.8% |
Depression | 20.0% | 27.7% |
Smoking | 16.3% | 24.7% |
Binge Drinking | 18.2% | 12.6% |
Obesity | 30.4% | 43.0% |
Disability Percentage | 26.0% | 17.0% |
Health Statistics Comparison: Shoshoni vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 15.1% in Shoshoni.
- Higher depression rates are seen in Martinsburg at 27.7% versus 20.0% in Shoshoni.
- Martinsburg has a higher smoking rate at 24.7% compared to 16.3% in Shoshoni.
- Binge drinking is more common in Shoshoni at 18.2% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 30.4% in Shoshoni.
- Disability percentages are higher in Shoshoni at 26.0% compared to 17.0% in Martinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shoshoni | Martinsburg |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (144) |
High School Diploma | 38.9% (191) | 16.7% (3,171) |
Less than High School | 20.4% (100) | 13.5% (2,556) |
Bachelor's Degree and Higher | 5.7% (28) | 16.2% (3,077) |
Education Levels Comparison: Shoshoni vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Shoshoni.
- A higher percentage of residents in Shoshoni hold a high school diploma at 38.9% compared to 16.7% in Martinsburg.
- More residents in Shoshoni have less than a high school education at 20.4% compared to 13.5% in Martinsburg.
- In Martinsburg, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 5.7% in Shoshoni.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.